Boguslaw Szlachetko

Fuzzy flight control system for helicopter intelligence in hover

This paper relates to a fuzzy flight control system in spot hovering for a single-rotor helicopter PZL Kania. The model of the fuzzy control system was developed on the basis of computer simulation experiments done by the experts analysis (pilots knowledge). The helicopters mathematical model and its fuzzy flight control system were simulated using Matlab software package. In a series of numerous computer simulations the operation of the fuzzy control system was investigated and the system itself was tuned up. Simulation tests have been performed for the helicopter both in fixed hovering, and in hovering with disturbances. Disturbances were related to a gust of wind or to an accidental motion of one of the rudders. Obtained results give the good promise for building the Web simulator.

Stabilisation and steering of quadrocopters using fuzzy logic regulators

The cascaded fuzzy controller system for quadrocopter was developed on the basis of computer simulations. The mathematical model of quadrocopter and its cascaded fuzzy controller were simulated using Matlab Simulink software. The proposed controller was tested in most frequent flight circumstances: in hover, in rectilinear flight with constant speed, in climbing and in rotation. In all these situations the proposed controller was able to provide foreseeable behavior of the quadrocopter.

Selection and Setting of an Intelligent Fuzzy Regulator based on Nonlinear Model Simulations of a Helicopter in Hover

Most research on fuzzy regulators has focused on the integrating rules in intelligent control systems. This paper evaluates a fuzzy helicopter regulator for a single-rotor PZL Kania helicopter. Unlike other models which only match stable flight ability, the model presented in this paper attempts to match the links between disturbances and hover conditions. Two simulations were performed to validate the model. In the first simulation, a helicopter was evaluated in a fixed hover position. In the second simulation, model robustness was validated by introducing wind gust. Results, both with the initial and with the modified model demonstrated the viability of the proposed regulator.

Helicopter Intelligence in Hover Quality Improvement of the Fuzzy Regulator

The modified model of the fuzzy control system was developed on the basis of computer simulation experiments. The helicopters mathematical model and its fuzzy flight control system were simulated using Matlab software package. In a series of numerous computer simulations the operation of the fuzzy control system was investigated and the system itself was tuned up. Simulation tests have been performed for the helicopter in hovering with and without coupling between helicopter response on steering moves. The fuzzy flight control system proposed was able to provide a stable behavior of the helicopter under all simulated circumstances

Building the fuzzy control system based on the pilot knowledge

The main problem addressed in this paper is simplification of transforming the knowledge from natural language description to fuzzy rules control system. The proposed fuzzy system build on the observation of human pilot reaction and on few very simple rules is very promising. Our fuzzy control system allow to control the helicopter in the hover yet can be generalize to other aspect of helicopter flight.

On quadrotor navigation using fuzzy logic regulators

In this paper the cascaded fuzzy controller system for quadrotor steering and stabilizing was deliberated. The mathematical model of quadrotor and its cascaded fuzzy controller were simulated using Matlab Simulink software. The fuzzy system was divided into three subsystems for controlling position and speed of the quadrotor and for steering rotation speed of propellers. In the article the square trajectory of quadrotor flight was presented as a system test.

Piroxicam derivatives THz classification

In this paper we report a new approach to linking the terahertz spectral shapes of drug candidates having a similar molecular structure to their chemical and physical parameters. We examined 27 newly-synthesized derivatives of a well-known nonsteroidal anti-inflammatory drug Piroxicam used for treatment of inflammatory arthritis and chemoprevention of colon cancer. The testing was carried out by means of terahertz pulsed spectroscopy (TPS). Using chemometric techniques we evaluated their spectral similarity in the terahertz range and attempted to link the position on the principal component analysis (PCA) score map to the similarity of molecular descriptors. A simplified spectral model preserved 75% and 85.1% of the variance in 2 and 3 dimensions respectively, compared to the input 1137. We have found that in 85% of the investigated samples a similarity of the physical and chemical parameters corresponds to a similarity in the terahertz spectra. The effects of data preprocessing on the generated maps are also discussed. The technique presented can support the choice of the most promising drug candidates for clinical trials in pharmacological research.

Automatic Image and Speech Recognition Based on Neural Network

The objective of this paper is to present a real-time mechanism for recognition of different objects using Spatiognitron neural network technology. Spatiognitron is based on a biological neural structure and the theory described in this paper presents what are known as Time Delay Neural Networks TDNN. These are fields which enable the recognition of different features in the input object. The approach was verified by qualitative recognition process tests in commercial car license plate recognition using a NeuroCar based system. A second set of tests was carried out in a laboratory environment using NeuroScope, an automatic speech recognition system.

Bistatic Passive Radar Simulator with spatial filtering subsystem

The purpose of this paper is to briefly introduce the structure and features of the developed virtual passive FM radar implemented in Matlab system of numerical computations and to present many alternative ways of its performance. An idea of the proposed solution is based on analytic representation of transmitted direct signals and reflected echo signals. As a spatial filtering subsystem a beamforming network of ULA and UCA dipole configuration dedicated to bistatic radar concept is considered and computationally efficient procedures are presented in details. Finally, exemplary results of the computer simulations of the elaborated virtual simulator are provided and discussed.

Gradient adaptive lattice filter in FPGAS-implementation issues

This paper exploreas an FPGA implementation issues of the gradient adaptive lattice (GAL) filter. the implementation was evaluated for various Virtex devices from Xilinx. On the basis of obtained results two different solutions were analysed, bamely a single GAL section coprocessor of Virtex Power PC, and a pipeline architecture. Both of them show significantly higher performance comparing to their software implementation.